To enhance the resilience of food systems to food safety risks, it is vitally important for
national authorities and international organizations to be able to identify emerging food …

Globally, the production, distribution, sale and consumption of plant-based foods (PBFs) are
on the increase due to heightened consumer awareness, a growing demand for clean label …

Modern food chain supply management necessitates the dire need for mitigating food fraud
and adulterations. This holistic review addresses different advanced detection technologies …

Background: Food safety is paramount to our health and existence. The complexity and
sophistication of today's food systems require maintaining the highest food safety standards …

This study compared the shelf-life of beef and pork longissimus lumborum muscles (loins)
that had the same initial bacterial loads and were held under the same chilled storage …

Rapid assessment of microbiological quality (ie, Total Aerobic Counts, TAC) and
authentication (ie, fresh vs frozen/thawed) of meat was investigated using spectroscopic …

In this study, a large amount of heterogeneous data (ie, microbiological, spectral and Next
Generation Sequencing data) were obtained analyzing mussels of different species and …

Highlights•Large datasets generated from food safety-related operations.•Machine learning
and deep-learning algorithms applied to food safety.•Quick, robust, and efficient approaches …

Microbial diversity is a key determinant of quality deterioration in native grasses. However, it
is still poorly understood how microbial community succession affects metabolite profiles …

Spectroscopic sensor imaging of food samples meta-processed by deep machine learning
models can be used to assess the quality of the sample. This article presents an architecture …